摘要
可逆信息隐藏主流算法通常基于经验给出各种固定的边信息(峰值点和零点对)搜索方案用于直方图平移过程,使得算法性能受到较大限制.为进一步提高算法效率,该文给出一种面向全容量(从小容量到大容量)的自适应嵌入方案,根据给定的嵌入容量选择近似最优的边信息.所提出的基于多特征排序的嵌入位置优选策略,能够搜索到更光滑的区域进行信息嵌入,从而提高算法性能;基于给定的嵌入容量,给出了一种基于智能优化算法的自适应边信息优选方案.实验结果表明,该算法可以实现全容量下的信息嵌入,并且获得的算法性能更好.
Reversible data hiding schemes generally show the advantage in integrity authentication,among which,histogram shifting(HS)technique is a special hot-spot due to its high effectiveness.However,HS processes generally employ empirical search criterions for side information(peak and zero bins)to reduce computation complexity,accordingly,resulting in the reduction of algorithm performance,such as low embedding capacity.To solve the problem,an adaptive side information selection method for dealing with various capacities(from low to large payloads)is proposed in this paper.It could determine the nearly optimal combination of side information based on the given payload.The proposed method employs a multi-feature based sorting technique is employed to search for smoother areas for data hiding,and designs an intelligent optimization algorithm to determine the optimal side information,thus resulting in a high performance.Experimental results show the proposed scheme could conduct information hiding for different quantities of payloads with superior performance.
作者
王俊祥
毛宁雄
赵怡
王春桃
WANG Junxiang;MAO Ningxiong;ZHAO Yi;WANG Chuntao(Mechanical and Electronic Engineering,Jingdezhen Ceramic Institute,Jingdezhen 333403,Jiangxi Province,China;College of Mathematics and Information,South China Agricultural University,Guangzhou 510642,China)
出处
《应用科学学报》
CAS
CSCD
北大核心
2019年第5期744-760,共17页
Journal of Applied Sciences
基金
国家自然科学基金(No.61762054,No.61672242)
江西省杰出青年人才资助计划(No.20171BCB23072)
江西省教育厅科技项目(No.GJJ1707619,No.GJJ160922)资助
关键词
可逆信息隐藏
彩色图像信息隐藏
直方图平移算法
边信息选择
智能优化算法
多特征排序
reversible data hiding
color image data hiding
histogram shifting algorithm
side information selection
intelligent optimization algorithm
multi-feature sorting